Jr Algorithm Developer Engineer E2 Santa Clara, CA (Fully onsite)

Role: Algorithm Developer Engineer E2 

Location: Santa Clara, CA (Fully onsite)

Duration: 12+ Months

Must Have:

Qualifications:

• Education: Ph.D.
• Years of Experience: 0-2 Years
• Work Experience: New College Graduate
• Research, develop, prototype, and evaluate computer vision, image analysis, signal processing, and machine learning algorithms for semiconductor wafer inspection and metrology applications.
• Conduct benchmarking and validation studies to evaluate algorithm accuracy, robustness, computational efficiency, and overall performance
• Recent Master's or Ph.D. graduate in Electrical Engineering, Computer Science, or a related field, with specialization in Computer Vision, Image Processing, Signal Processing, Machine Learning, or related areas.

Responsibilities:

• As an Algorithm Developer Engineer E2, you will contribute to the research and development of computer vision, image analysis, and signal processing algorithms for semiconductor wafer inspection and metrology applications.
• Working closely with experienced engineers and researchers, you will implement and optimize algorithms that enhance defect detection, classification, and metrology accuracy across Applied Materials' semiconductor inspection and metrology products.
  • Research, develop, prototype, and evaluate computer vision, image analysis, signal processing, and machine learning algorithms for semiconductor wafer inspection and metrology applications.
  • Conduct benchmarking and validation studies to evaluate algorithm accuracy, robustness, computational efficiency, and overall performance.
  • Implement, optimize, and maintain product-quality algorithmic software in Python and C++ for production and deployment.
  • Collaborate with software, systems, applications, and compute infrastructure teams to integrate algorithms into production products.
  • Document technical findings and communicate results through reports, presentations, and design reviews.

Minimum Qualifications:

• Recent Master's or Ph.D. graduate in Electrical Engineering, Computer Science, or a related field, with specialization in Computer Vision, Image Processing, Signal Processing, Machine Learning, or related areas.
• Graduate-level coursework in classical and modern computer vision, along with hands-on project work in image registration, image segmentation, camera calibration, multi-view geometry, and related image analysis techniques.
• Proficient in Python and/or C++ through research, coursework, internships, or academic projects.
• Preferred Qualifications
  • Experience applying mathematical and statistical methods to formulate and solve engineering problems.
  • Experience with image-based deep learning methods for computer vision applications.
  • Experience using AI-assisted coding tools for software development, prototyping, and debugging.
  • Publications in leading peer-reviewed conferences or journals (e.g., CVPR, ICCV, ECCV, ICIP, or similar venues).
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or equivalent tools.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work effectively in a collaborative, cross-functional engineering environment.

Chandan

Manager - Recruitment | Empower Professionals

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